Improved prediction of drug‐induced Torsades de Pointes through simulations of dynamics and machine learning algorithms

MC Lancaster, EA Sobie - Clinical Pharmacology & …, 2016 - Wiley Online Library
The ventricular arrhythmia Torsades de Pointes (TdP) is a common form of drug‐induced
cardiotoxicity, but prediction of this arrhythmia remains an unresolved issue in drug …

Sex‐specific classification of drug‐induced torsade de pointes susceptibility using cardiac simulations and machine learning

A Fogli Iseppe, H Ni, S Zhu, X Zhang… - Clinical …, 2021 - Wiley Online Library
Torsade de Pointes (TdP), a rare but lethal ventricular arrhythmia, is a toxic side effect of
many drugs. To assess TdP risk, safety regulatory guidelines require quantification of hERG …

[HTML][HTML] Global optimization of ventricular myocyte model to multi-variable objective improves predictions of drug-induced torsades de pointes

T Krogh-Madsen, AF Jacobson, FA Ortega… - Frontiers in …, 2017 - frontiersin.org
In silico cardiac myocyte models present powerful tools for drug safety testing and for
predicting phenotypical consequences of ion channel mutations, but their accuracy is …

[HTML][HTML] Blinded in silico drug trial reveals the minimum set of ion channels for torsades de pointes risk assessment

X Zhou, Y Qu, E Passini, A Bueno-Orovio… - Frontiers in …, 2020 - frontiersin.org
Torsades de Pointes (TdP) is a type of ventricular arrhythmia which could be observed as an
unwanted drug-induced cardiac side effect, and it is associated with repolarization …

In Silico Classifiers for the Assessment of Drug Proarrhythmicity

J Llopis-Lorente, J Gomis-Tena, J Cano… - Journal of Chemical …, 2020 - ACS Publications
Drug-induced torsade de pointes (TdP) is a life-threatening ventricular arrhythmia
responsible for the withdrawal of many drugs from the market. Although currently used TdP …

Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment

S Dutta, KC Chang, KA Beattie, J Sheng… - Frontiers in …, 2017 - frontiersin.org
Drug-induced Torsade-de-Pointes (TdP) has been responsible for the withdrawal of many
drugs from the market and is therefore of major concern to global regulatory agencies and …

[HTML][HTML] Novel two-step classifier for torsades de pointes risk stratification from direct features

J Parikh, V Gurev, JJ Rice - Frontiers in pharmacology, 2017 - frontiersin.org
While pre-clinical Torsades de Pointes (TdP) risk classifiers had initially been based on drug-
induced block of hERG potassium channels, it is now well established that improved risk …

Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk

GR Mirams, Y Cui, A Sher, M Fink… - Cardiovascular …, 2011 - academic.oup.com
Aims The level of inhibition of the human Ether-à-go-go-related gene (hERG) channel is one
of the earliest preclinical markers used to predict the risk of a compound causing Torsade-de …

A computational pipeline to predict cardiotoxicity: from the atom to the rhythm

PC Yang, KR DeMarco, P Aghasafari, MT Jeng… - Circulation …, 2020 - Am Heart Assoc
Rationale: Drug-induced proarrhythmia is so tightly associated with prolongation of the QT
interval that QT prolongation is an accepted surrogate marker for arrhythmia. But QT interval …

Assessing predictors of drug-induced torsade de pointes

L Belardinelli, C Antzelevitch, MA Vos - Trends in pharmacological …, 2003 - cell.com
Torsades de pointes (TdP) is a malignant polymorphic ventricular tachyarrhythmia that can
be caused by drugs that induce electrophysiological changes. Although the number of drugs …